Determinants of Vietnamese Colleges’ Academic Performance: The Second Stage Bootstrapping DEA Approach

Dung Thi Thanh Tran (International College of Management, Sydney)

Article ID: 380



This paper aims to examine the determinants of the academic performance of 141 colleges in Vietnam in 2011/12–2013/14. The second-stage bootstrapping data envelopment analysis is proposed to estimate performance of colleges and investigate the effects of environmental factors on their performance. The findings reveal that colleges in the surveyed sample are not technically efficient in their operations. To obtain the full efficiency of unity, colleges could potentially improve their efficiencies, on average, 37.7 per cent for colleges. However, inefficiencies of colleges are not entirely a result of managerial performance. Instead, external factors including location, age, and ownership are presented as key influencers on inefficiencies of colleges. Our results are expected to provide more understanding of the operational efficiencies of colleges for educational managers and policy makers on the way seeking possible solutions to enhancing innovation in performance of Vietnamese colleges.


Efficiency; Data envelopment analysis; Bootstrapping; Colleges; Vietnam

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[1] Abbot M, Doucouliagos C. The efficiency of Australian universities: A data envelopment analysis. Economics of Education Review, 2003, 22:89-97.

[2] Abbot M, Doucouliagos C. Competition and efficiency: overseas students and technical efficiency in Australian and New Zealand universities. Education Economics, 2009, 17:31-57.

[3] Agasisti T, Catalano G, Landoni P, Verganti R. Evaluating the performance of academic departments: An analysis of research-related output efficiency. Research Evaluation, 2012, 21:2-14.

[4] Agasisti T, Bianco AD. Reforming the university sector: Effects on teaching efficiency—— Evidence from Italy. Higher Education, 2009, 57:477-498.

[5] Agasisti T, Johnes G. Beyond frontiers: Comparing the efficiency of higher education decision-making units across more than one country. Education Economics, 2009, 17:59-79.

[6] Agasisti T, Pohl C. Comparing German and Italian public universities: Convergence or divergence in higher education landscape? Managerial and Decision Economics, 2012, 33:71-85.

[7] Ahn T, Charnes A, Cooper WW. Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning. Socio-Economic Planning Sciences, 1988, 22(6):259-269.

[8] Andersen P, Petersen NC. A procedure for ranking efficient units in Data Envelopment Analysis. Management Science, 1993, 39: 1261-1264.

[9] Athanassopoulos AD, Shale E. Assessing the comparative efficiency of higher education institutions in the UK by the means of data envelopment analysis. Education Economics, 1997, 5(2): 17-134.

[10] Avkiran NK. Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. Socio-Economic Planning Sciences, 2001, 35:57-80.

[11] Banker RD, Charnes A, Cooper WW. Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 1984, 30: 1078-1092.

[12] Banker RD, Natarajan R. Evaluating contextual variables affecting productivity using data envelopment analysis. Operations Research 2008, 56:48-58.

[13] Carrington R, Coelli T, Rao P. The performance of Australian Universities: conceptual issues and preliminary results. Economic Papers, 2005, 24:145-163.

[14] Castano MCN, Cabanda E. Sources of efficiency and productivity growth in the Philippine state universities and colleges: A non-parametric approach. International Business and Economics Research Journal, 2007, 6:79-90.

[15] Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision making units. European Journal of Operational Research, 1978, 2:429-444.

[16] Coelli TJ. Assessing the performance of Australian universities using data envelopment analysis. Mimeo 1996, Centre for Efficiency and Productivity Analysis, University of New England.

[17] Coelli TJ, Rao DSP, O’Donnell CJ, Battese GE. An Introduction to Efficiency and Productivity Analysis 2005, 2nd Edition. New York: Springer.

[18] Daghbashyna Z. The economic efficiency of Swedish higher education institutions. Working paper 245 2011, the Royal Institute of Technology, CESIS.

[19] Dan Tri. Năm 2017: Chi ngân sách cho giáo dục là 248.118 tỷ đồng (2017: Expenditures for Education and Training are 248,118 VND) 2018;

[20] Accessed 26 November 2018 from:

[21] De Miranda RO, Gramani MCN, de Carvalho Andrade E. Technical efficiency of business administration courses—— A simultaneous analysis using DEA and SFA. Insper Working Paper WPE: 214, 2010. Rua Quata, Sao Paulo-SP, Brazil: Institute of Education and Research.

[22] Duh RR, Chen KT, Lin RC, Kuo LC. Do internal controls improve operating efficiency of universities? Annals of Operations Research, 2014, 221:173-195.

[23] Emrouznejad A, Thanassoulis E. A mathematical model for dynamic efficiency using data envelopment analysis. Applied Mathematics and Computation, 2005, 160:363-378.

[24] Fried HO, Lovell CAK, Schmidt SS. Efficiency and productivity. In Fried, H.O., Lovell, C.A.K., and Schmidt, S.S. (Eds.): The Measurement of Productive Efficiency and Productivity Growth, 2008, 3–91. New York, USA: Oxford University Press, Inc.

[25] Hoff A. Second stage DEA: Comparison of approaches for modelling the DEA scores. European Journal of Operational Research, 2007, 181:425-435.

[26] Husain WRW. Comparative Evaluation of Public Universities in Malaysia using Data Envelopment Analysis 2012. PhD Thesis, Warwick Business School. The University of Warwick, Conventrance, England.

[27] Johnes J, Yu L. Measuring the research performance of Chinese higher education institutions using data envelopment analysis. China Economic Review, 2008, 19: 679-696.

[28] Johnes J. Measuring teaching efficiency in higher education: An application to data development analysis to economic graduates from UK universities, 1993. European Journal of Operational Research, 2006, 174:443-456.

[29] McDonald J. Using least squares and Tobit in second stage DEA efficiency analyses. European Journal of Operational Research, 2009, 197:792-798.

[30] McMillan ML, Chan WH. University efficiency: A comparison and consolidation of results from stochastic and non-stochastic methods. Education Economics, 2006, 14(1):1-30.

[31] MOET (Ministry of Education and Training). Statistics on education; Accessed on 27 November 2018 from:

[32] Nguyen TTH, Thenet G, Nguyen KM. Applying DEA sensitivity analysis to efficiency measurement of Vietnamese universities. Management Science Letters, 2015, 5:983-992.

[33] Papke LE, Wooldridge JM. Econometric methods for fractional response variables with an application to 401 (K) plan participation rates. Journal of Applied Econometrics, 1996, 11:619-632.

[34] Podinovski VV, Husain WRW. The hybrid returns-to-scale model and its extension by production trade-offs: An application to the efficiency assessment of public universities in Malaysia. Annals of Operations Research, 2015, 250(1):65-84.

[35] Ramalho EA, Ramalho JJS, Henriques PD. Fractional regression models for second stage DEA efficiency analyses. Journal of Productivity Analysis, 2010, 34:239-255.

[36] Robst J. Cost efficiency in public higher education institutions. Journal of Higher Education, 2001, 72:730-750.

[37] Sav GT. Managing operating efficiencies of publicly owned universities: American university stochastic frontier estimates using panel data. Advances in Management and Applied Economics, 2012, 2:1-23.

[38] Simar L, Wilson PW. Sensitivity analysis of efficiency score: How to bootstrap in non-parametric frontier models. Management Science, 1998, 44:49-61.

[39] Simar L,Wilson PW. Bootstrapping in non-parametric frontier models. Journal of Applied Statistics, 2000, 27:779-802.

[40] Simar L, Wilson PW. Estimation and inference in two-stage, semi-parametric models of production processes. Journal of Econometrics, 2007, 136:31-64.

[41] Stevens PA. A stochastic frontier analysis of English and Welsh universities. Education Economics, 2005, 13:355-374.

[42] Thanassoulis E. Setting achievement targets for school children. Education Economics 1999, 7:101-119.

[43] Thanassoulis E, Kortelainen M, Johnes G, Johnes J. Costs and efficiency of higher education institutions in England: A DEA analysis. Journal of the Operational Research Society, 2011, 62: 1282-1297.

[44] Tran CDTT, Villano RA. An empirical analysis of the academic performance: The case of Vietnamese higher education institutions. Journal of Further and Higher Education, 2017, 41(4):530-544

[45] Tran CDTT, Villano RA. Measuring efficiency of Vietnamese public colleges: An application of the DEA-based dynamic network approach.International Transactions in Operational Research, 2018, 25(2):683-703.

[46] Tran CDTT. The reform process of higher education in Vietnam: Performance efficiency and transparent accountability. Review of Educational Theory (2018) (forthcoming), 1(4):121-133.

[47] Vietnamnet. 5 năm, ngân sách cho giáo dục tăng 92.500 tỷ đồng (For five years, state budget for education increases 92,500 VND) 2018;

[48] Accessed 26 Nov 2018, Available from:


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